2019-09-11

11:00 Kyle Weaver, Ismaël Mejía: Portable Spark Runner: Running Beam Pipelines Written in Python and Go with Spark

12:00 Jason Kuster, Alan Myrvold: Friendlier Communities Through Infrastructure: Apache Beam’s Journey

14:15 : Using the Timer and State API to solve times series use case in Apache Beam

15:15 Etienne Chauchot: The journey of building a Beam runner based on Spark structured streaming framework

16:45 Alexey Romanenko, Ismaël Mejía: Developing new IO connectors in Apache Beam

17:45 Andrew Pilloud: Simple, Portable data pipelines with Apache Beam SQL

2019-09-12

09:00 Micah Wylde: Running Apache Flink and Apache Beam on Kubernetes

09:00 Brian Hulette: Apache Arrow + Apache Beam: A vision for cross-language, columnar data pipelines

10:00 Enrico Canzonieri: Stream processing for the masses with Beam, Python and Flink

10:00 Alex Van Boxel: Driving dynamic Beam pipelines

13:00 Suneel Marthi: Beaming Deep Learning with Ludwig

13:00 Robert Burke: A Guided Walkthrough of the Apache Beam Go SDK

14:00 Rakesh Kumar: Pricing Lyft rides with Apache Beam - a case study in migrating from a worker-based workflow to streaming

14:00 Harshit Dwivedi: Apache Beam + Kotlin = ❤️

15:30 Khai Tran: Unifying Batch and Stream Data Processing with Apache Calcite and Apache Beam

15:30 Jozsef Bartok: Writing the Hazelcast Jet Runner

16:30 Hai Lu: Samza Portable Runner for Beam

16:30 Chengzhi Zhao: Creating Custom Streaming Events to Learn Apache Beam

17:30 syucream: Production-ready stream data pipeline in Merpay, Inc

17:30 Shuichi Suzuki: Creating a Stream Data Pipeline on Google Cloud Platform using Apache Beam